Overfitting a Decision Tree 1

Question:

This bug was found when Katie was trying to make an overfit decision tree to use as an example in the decision tree mini-project. A decision tree is classically an algorithm that can be easy to overfit; one of the easiest ways to get an overfit decision tree is to use a small training set and lots of features.
If a decision tree is overfit, would you expect the accuracy on a test set to be very high or pretty low?

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